research

Conference Papers & Articles

Bayesian Learning of Sum-Product Networks.
Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf and Zoubin Ghahramani.
Advances in Neural Information Processing Systems (NeurIPS 2019).
[arXiv]

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, and Zoubin Ghahramani.
Uncertainty in Artificial Intelligence (UAI 2019)
[
paper] [bibtex] [code]

Safe Semi-Supervised Learning of Sum-Product Networks.
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf and Robert Trappl.
Uncertainty in Artificial Intelligence (UAI 2017)
[paper] [bibtex]

Retrieving Compositional Documents using Position-Sensitive Word Mover’s Distance.
Martin Trapp, Marcin Skowron and Dietmar Schabus.
International Conference on the Theory of Information Retrieval (ICTIR 2017)
[paper] [bibtex]

Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images.
Martin Trapp, Florian Schulze, Alexey A. Novikov, Laslo Tirian, Barry J. Dickson and Katja Bühler.
Neuroinformatics 14(2) 2016.
[paper] [bibtex]

Workshop Papers

Optimisation of Overparametrized Sum-Product Networks.
Martin Trapp, Robert Peharz and Franz Pernkopf.
ICML 2019 Workshop on Tractable Probabilistic Modelling.

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks.
Martin Trapp, Robert Peharz, Carl E. Rasmussen and Franz Pernkopf.
ICML 2018 Workshop on Tractable Probabilistic Models.

Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees.
Martin Trapp, Robert Peharz, Marcin Skowron, Tamas Madl, Franz Pernkopf and Robert Trappl.
NeurIPS 2016 Workshop on Bayesian Nonparametrics

BNP. jl: Bayesian nonparametrics in Julia
Martin Trapp.
NeurIPS 2015 Workshop on Bayesian Nonparametrics